Senior AI​/ML Engineer, Applied Machine Learning Security Clearance

Senior AI/ML Engineer, Applied Machine Learning - (Security Clearance)

Seattle, WA or Remote (USA)

Co‑founded in 2023 by Joe Laws and Grant Verstandig, Trase Systems is AI made simple. We enable enterprise leaders to harness the full potential of AI without the associated complexity and risks. Our end‑to‑end platform deploys, manages, and optimizes AI across the organization, bridging the "last mile" of adoption. Trase tops the Hugging Face GAIA Leader board for generalized AI assistants and is building mission‑critical agentic applications in healthcare, oil & gas, and national security.

Are you passionate about building and optimizing machine learning systems? Do you thrive on architecting innovative models and pipelines? As a Senior Machine Learning Engineer at Trase Systems, you will play a pivotal role in advancing our ML systems—from model training to LLM fine‑tuning—driving impact and continuing to evolve with the business.

• Architect, Build, and Optimize ML Systems: Deploy robust ML models that deliver high‑impact results for real‑world applications.
• Training Pipeline Development: Design and implement scalable pipelines to train and retrain models, ensuring they meet business needs.
• Fine‑Tuning Large Language Models (LLMs): Continuously refine LLMs for enterprise requirements, enhancing accuracy and relevance.
• Feedback Systems Design: Build and iterate on feedback loops to improve model performance over time.
• Cross‑Functional
  
  Collaboration:
  
  Work closely with product and business teams to translate requirements into ML solutions with tangible outcomes.
• Stay Current with ML Advancements: Apply cutting‑edge research and best practices to keep our infrastructure at the forefront.
• Mentorship and Knowledge Sharing: Guide junior team members and foster a culture of technical growth.
• Technical Communication: Clearly explain ML methods, results, and insights to non‑technical stakeholders.

• ML Systems Expertise: Proven experience developing, optimizing, and deploying ML systems in production.
• Model Training and Pipeline Mastery: Strong background building end‑to‑end training pipelines.
• LLM Fine‑Tuning: Deep knowledge of fine‑tuning large language models for specific use cases.
• Framework Proficiency: Skilled in Tensor Flow, PyTorch, or similar frameworks.
• Programming
  
  Skills:
  
  Proficient in Python, writing efficient, clean, and maintainable code.
• Clear Communicator: Ability to distill complex ML concepts for both technical and non‑technical audiences.
• Educational Background: Bachelor’s or Master’s degree in Machine Learning, Computer Science, Data Engineering, or a related field.
• Impactful ML Solutions: Track record of delivering ML solutions that drive real‑world value.
• Active Secret or Top Secret Clearance

• 100% employer‑paid care (medical, dental, vision) for you and your family.
• Paid maternity and paternity for 14 weeks at normal pay.
• Unlimited PTO, with management approval.
• Opportunities for professional development with educational reimbursements.
• Optional 401(k), FSA, and equity incentives available.

Salary Range: $175,000–$225,000. This range reflects typical pay for this position based on experience, skills, and other factors.

We’re an Equal Opportunity

Employer:

You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or disability.